SPC for the rest of us: a personal path to statistical process control
Provides professional, experience-based guidelines on understanding what SPC is and explains the mysteries and intricacies connected with these tools. In a carefully-planned series of learning steps, this book leads the reader to overcome the fear of statistics, to understand SPC and to generate enthusiasm for its proper use in mainufacturing, services, and administration. Pitt draws from his experience teaching clients at Fortune 500 Companies including Frito-Lay, General Mills, Gillette, M&M/Mars, Rockwell International, 3M, and Westinghouse Electric.
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Revolutions in Quality Productivity and Statistics
First Some Major Management Chores
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ASQC attributes average number calculate capability indexes Cause-and-effect diagram center line Chapter characteristics column confidence belts confidence interval control charts CuSum decimal places decoding determine estimate EWMA example factors frequency histogram identify in.-lbs individual lower control limit machine mean and standard median chart meeting specifications meeting specs midpoint moving ranges normal curve normal distribution number of defects number of nonconformities operator original data Pareto chart percent percentage plotted points predictable probability problem process capability studies process control process improvement process mean process standard deviation proportion Quality Control random sample range chart readings Rld2 sample averages sample data sample sizes sample standard deviation sample statistic screw-cap torques Shewhart shown in Figure special cause statistical control statistical process control Statistical Quality Control stratified sample subgroup sample Table tion trial control limits UCLR upper control limit usually X-chart